Re: [AMBER] How many GPU card is working

From: Saikat Pal <saikatpaliitg.yahoo.com>
Date: Fri, 18 Aug 2017 12:35:48 +0000 (UTC)

Thank you Sir for your kind response.In mdout file :--------------- GPU PEER TO PEER INFO -----------------
|
|   Peer to Peer support: DISABLED
|
|         (Selected GPUs cannot communicate over P2P)
|
|--------------------------------------------------------


How can I enable Peer to Peer support??
Thanks and Regards,Saikat
On Friday 18 August 2017, 5:45:37 PM IST, Daniel Roe <daniel.r.roe.gmail.com> wrote:

Hi,

On Fri, Aug 18, 2017 at 7:33 AM, Saikat Pal <saikatpaliitg.yahoo.com> wrote:
> Dear all,How many GPU card is working ??I think it is 10 but not sure.Please help me.Thanks Saikat

It's 2. According to your output CUDA_VISIBLE_DEVICES is set to "0,1",
and there are 2 CUDA capable devices detected. Right now 3 tasks are
running on one GPU and 3 on the other, which is almost certainly not
what you want. You may get some speedup running across 2 GPUs if
peer-to-peer support is enabled, but you should benchmark. More useful
info on running on multiple GPUs can be found here:
http://ambermd.org/gpus/index.htm#Running

-Dan

>
>
> ------------------- GPU DEVICE INFO --------------------
> |
> |                        Task ID:      0
> |            CUDA_VISIBLE_DEVICES: 0,1
> |  CUDA Capable Devices Detected:      2
> |          CUDA Device ID in use:      0
> |                CUDA Device Name: Tesla K40c
> |    CUDA Device Global Mem Size:  11519 MB
> | CUDA Device Num Multiprocessors:    15
> |          CUDA Device Core Freq:  0.75 GHz
> |
> |
> |                        Task ID:      1
> |            CUDA_VISIBLE_DEVICES: 0,1
> |  CUDA Capable Devices Detected:      2
> |          CUDA Device ID in use:      0
> |                CUDA Device Name: Tesla K40c
> |    CUDA Device Global Mem Size:  11519 MB
> | CUDA Device Num Multiprocessors:    15
> |          CUDA Device Core Freq:  0.75 GHz
> |
> |
> |                        Task ID:      2
> |            CUDA_VISIBLE_DEVICES: 0,1
> |  CUDA Capable Devices Detected:      2
> |          CUDA Device ID in use:      1
> |                CUDA Device Name: Tesla K40c
> |    CUDA Device Global Mem Size:  11519 MB
> | CUDA Device Num Multiprocessors:    15
> |          CUDA Device Core Freq:  0.75 GHz
> |
> |
> |                        Task ID:      3
> |            CUDA_VISIBLE_DEVICES: 0,1
> |  CUDA Capable Devices Detected:      2
> |          CUDA Device ID in use:      1
> |                CUDA Device Name: Tesla K40c
> |    CUDA Device Global Mem Size:  11519 MB
> | CUDA Device Num Multiprocessors:    15
> |          CUDA Device Core Freq:  0.75 GHz
> |
> |
> |                        Task ID:      4
> |            CUDA_VISIBLE_DEVICES: 0,1
> |  CUDA Capable Devices Detected:      2
> |          CUDA Device ID in use:      0
> |                CUDA Device Name: Tesla K40c
> |    CUDA Device Global Mem Size:  11519 MB
> | CUDA Device Num Multiprocessors:    15
> |          CUDA Device Core Freq:  0.75 GHz
> |
> |
> |                        Task ID:      5
> |            CUDA_VISIBLE_DEVICES: 0,1
> |  CUDA Capable Devices Detected:      2
> |          CUDA Device ID in use:      0
> |                CUDA Device Name: Tesla K40c
> |    CUDA Device Global Mem Size:  11519 MB
> | CUDA Device Num Multiprocessors:    15
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-- 
-------------------------
Daniel R. Roe
Laboratory of Computational Biology
National Institutes of Health, NHLBI
5635 Fishers Ln, Rm T900
Rockville MD, 20852
https://www.lobos.nih.gov/lcb
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Received on Fri Aug 18 2017 - 06:00:05 PDT
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